A graphical query language for entity-relationship databases
Proc. of the third international conference on Entity-relationship approach to software engineering
IFO: a formal semantic database model
ACM Transactions on Database Systems (TODS)
PIQUE: A relational query language without relations
Information Systems
Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
Update and retrieval in a relational database through a universal schema interface
ACM Transactions on Database Systems (TODS)
A universal relation data model with semantic constructs
A universal relation data model with semantic constructs
A simplied universal relation assumption and its properties
ACM Transactions on Database Systems (TODS)
On the correct translation of update operations on relational views
ACM Transactions on Database Systems (TODS)
Maximal objects and the semantics of universal relation databases
ACM Transactions on Database Systems (TODS)
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
Design of Database Structures
Automatic Database Navigation: Towards a High Level User Interface
Proceedings of the Fourth International Conference on Entity-Relationship Approach
A Universal Relation Assumption Based on Entities and Relationships
Proceedings of the Fourth International Conference on Entity-Relationship Approach
An intelligent approach to handling imperfect information in concept-based natural language queries
ACM Transactions on Information Systems (TOIS)
An abbreviated concept-based query language and its exploratory evaluation
Journal of Systems and Software
A Data Model for Data Integration
Electronic Notes in Theoretical Computer Science (ENTCS)
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Two important features of modern database models are support for complex data structures and support for high-level data retrieval and update. The first issue has been studied by the development of various semantic data models; the second issue has been studied through universal relation data models. How the advantages of these two approaches can be combined is presently examined. A new data model that incorporates standard concepts from semantic data models such as entities, aggregations, and ISA hierarchies is introduced. It is then shown how nonnavigational queries and updates can be interpreted in this model. The main contribution is to demonstrate how universal relation techniques can be extended to a more powerful data model. Moreover, the semantic constructs of the model allow one to eliminate many of the limitations of previous universal relation models.